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Colab notebooks allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX and more. When you create your own Colab notebooks, they are stored in your Google Drive account. You can easily share your Colab notebooks with co-workers or friends, allowing them to comment on your notebooks or even edit them.
With Colab you can import an image dataset, train an image classifier on it, and evaluate the model, all in just a few lines of code. Colab notebooks execute code on Google's cloud servers, meaning you can leverage the power of Google hardware, including GPUs and TPUs, regardless of the power of your machine. All you need is a browser.
Integration with Drive. Colaboratory is integrated with Google Drive. It allows you to share, comment, and collaborate on the same document with multiple people: The SHARE button (top-right of the toolbar) allows you to share the notebook and control permissions set on it. File->Make a Copy creates a copy of the notebook in Drive.
chevron_right. Search notebooks. Search notebooks
ご自分の Colab ノートブックを作成すると、Google ドライブ アカウントに保存されます。Colab ノートブックは、同僚や友人と簡単に共有し、コメントの記入や編集をしてもらうことができます。詳細については Colab の概要をご覧ください。
Máy học. Với Colab, chỉ cần sử dụng một vài dòng mã là bạn có thể nhập tập dữ liệu hình ảnh, huấn luyện một trình phân loại hình ảnh dựa trên tập dữ liệu đó và đánh giá mô hình này. Sổ tay trên Colab thực thi mã trên các máy chủ đám mây của Google. Nhờ đó ...
Enabling and testing the GPU. First, you'll need to enable GPUs for the notebook: Navigate to Edit→Notebook Settings. select GPU from the Hardware Accelerator drop-down. Next, we'll confirm that we can connect to the GPU with tensorflow: import tensorflow as tf. device_name = tf.test.gpu_device_name()
Google Cloud Storage (GCS) In order to use Colaboratory with GCS, you'll need to create a Google Cloud project or use a pre-existing one. Specify your project ID below: project_id = 'Your_project_ID_here'. Files in GCS are contained in buckets. Buckets must have a globally-unique name, so we generate one here.
To follow this tutorial, run the notebook in Google Colab by clicking the button at the top of this page. In Colab, connect to a Python runtime: At the top-right of the menu bar, select CONNECT. To run all the code in the notebook, select Runtime > Run all. To run the code cells one at a time, hover over each cell and select the Run cell icon.
Colab, atau "Colaboratory", memungkinkan Anda menulis dan mengeksekusi Python di browser, dengan. Tidak memerlukan konfigurasi. Akses tanpa biaya ke GPU. Berbagi dengan mudah. Apakah Anda seorang pelajar, data scientist, atau peneliti AI, Colab dapat memudahkan pekerjaan Anda. Tonton Pengantar Colab untuk mempelajari lebih lanjut, atau langsung ...
